SWE, ML Infrastructure

Key Skills

Aartificial intelligence, C Programming, C++, Data science techniques, Design, High performance computing- HPC, Infrastructure as code, Machine learning techniques, PyTorch, TensorFlow

Job Description

HPE's AI-at-scale engineering group is expanding their software engineering teams to build software for the next generation of AI/ML workloads. We are looking for a spirited, productive individual who is passionate about AI, someone who is ready to make a big impact of the future

direction of AI technologies.

How you'll make your mark:

• Work with AI-at-scale engineers to build the next generation of ML software for high performance computing (HPC) workflows
• Build software that enables end-users to incorporate online ML model training and
• inference into exascale workflows
• Collaborate with other team members to design and deliver high-quality, performant, and testable software that can be deployed consistently
• Work with outside collaborators at top-tier universities and national research institutions to push the frontiers of AI applications in HPC workflows
• Contribute to multiple open source projects
• Work across engineering teams to coordinate cross-product development

About you:

• Required: Bachelor/Master's degree in Computer Science, Computer Engineering, or equivalent.
• Required: 4-6 years of work experience
• Required: Experience with writing secure, robust, and scalable software in C and C++
• Required: Knowledge of machine learning inference toolkits, technologies, and
• workflows
• Preferred: Experience developing applications with TensorFlow and PyTorch C/C++ , APIs
• Preferred: Experience working with TensorFlow and PyTorch data loader APIs
• Preferred: Familiarity building ML infrastructure for multiple accelerators (e.g. Nvidia and AMD)
• Preferred: Experience with parallel and multi-threaded programming models
• Preferred: Familiarity with High Performance Computing (HPC) systems, including
• common programming environments, system architectures, and workload managers

aisolutions

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering

Job Level:

Expert

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

Annual Salary: $128,000.00 - $295,000.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.